High-Performance Backends

Backends that don't buckle under load.

Symfony, Go, Event-Driven Architecture. I build systems that handle 10x more traffic than originally planned. For when standard developers hit their limits.

High-Performance Backend Development
10+ Years Backend
10x Performance Gains
99.9% Uptime Target

When You Need Me

I take over when standard solutions are no longer enough:

Performance Bottlenecks

API responses over 500ms? Database queries blocking everything? I find the bottlenecks and solve them - often with 10x improvement.

Scaling Problems

Traffic growing but architecture not keeping up? I design systems that scale horizontally - without a big-bang rewrite.

Monolith to Microservices

Monolith grown too large? I extract services using the Strangler Pattern - step by step and without risk.

Async & Event-Driven

Synchronous processes blocking your system? I implement Event-Driven Architecture for asynchronous, resilient systems.

Backend Stack

Proven technologies for scalable, maintainable systems

PHP
PHP 8.3+

Fibers, Readonly Classes, Enums, Attributes

Symfony
Symfony 7

Messenger, Doctrine, API Platform, Scheduler

Go
Go

High-Performance Services, Concurrency, gRPC

Laravel
Laravel 11

Eloquent, Queues, Horizon, Octane

Node.js
Node.js

Express, Fastify, Event Loop, Async I/O

PostgreSQL
PostgreSQL

JSONB, CTEs, Partitioning, Replikation

MySQL
MySQL 8

Query-Optimierung, Indexierung, InnoDB Cluster

Redis
Redis

Caching, Sessions, Pub/Sub, Streams

MongoDB
MongoDB

Document Store, Aggregation, Change Streams

RabbitMQ
RabbitMQ

AMQP, Dead Letter Queues, Routing

Kafka
Apache Kafka

Event Streaming, Partitioning, Consumer Groups

AWS
AWS

EC2, RDS, Lambda, SQS, EventBridge

Docker
Docker

Multi-Stage Builds, Compose, Swarm

Kubernetes
Kubernetes

Deployments, Services, Helm, Operators

Terraform
Terraform

Infrastructure as Code, Modules, State

Specialized Backend Services

Focus on architecture and performance, not feature factories

Performance Engineering

Systematic performance optimization through profiling, query analysis, and architecture improvements.

  • Application Profiling (Blackfire, XDebug)
  • Query Optimization & Indexing
  • Caching Strategies (Redis, Varnish)
  • Async Processing (RabbitMQ, Kafka)

API Architecture

High-performance APIs with clear structure, versioning, and rate limiting for enterprise requirements.

  • REST & GraphQL Design
  • API Gateway & Rate Limiting
  • OpenAPI/Swagger Documentation
  • Versioning & Breaking Changes

Event-Driven Systems

Resilient systems with message queues, event sourcing, and CQRS for complex business logic.

  • Message Queue Integration
  • Event Sourcing Patterns
  • CQRS Implementation
  • Saga & Choreography Patterns

Cloud Architecture

Infrastructure as code, container orchestration, and cloud-native patterns for production-ready deployments.

  • Docker & Kubernetes
  • AWS / GCP Architecture
  • Infrastructure as Code (Terraform)
  • CI/CD Pipeline Design

My Approach: Measure Before Optimizing

No premature optimization. First understand, then act.

1. Establish Baseline

Set up profiling, load tests, monitoring. Without numbers, no real optimization - just assumptions.

2. Find Bottleneck

Identify the 20% that causes 80% of problems. Focus on real bottlenecks, not theory.

3. Improve Iteratively

Small changes, measure, validate. Every optimization must be provable - no flying blind.

Investment

Backend work is architecture work - that's reflected in the investment

Performance Audit

One-time / 1-2 Days

Complete analysis: Profiling, bottleneck identification, action plan with ROI estimate.

2,500 EUR

Book Audit

Retainer

Ongoing / 1 Day/Week

Continuous architecture consulting, code reviews, and mentoring for your dev team.

3,500 EUR/Month

Details

Backend Problems? Let's Talk.

Free 30-minute conversation. I listen, ask questions, and give an honest assessment - whether and how I can help.

Häufige Fragen

Why Symfony and Go?

Symfony for complex business logic with a proven ecosystem. Go for high-performance services that need to perform under load. I choose based on the problem, not the trend.

How do you measure performance improvements?

With concrete metrics: Response Time (p50, p95, p99), Throughput, Error Rate. Before and after every change. No "feels faster", only measurable improvements.

Can you also do frontend development?

Yes, but that's not my focus. My value lies in backend architecture and performance. For frontend work, there are better specialists - I'm happy to connect you.

What about Microservices vs. Monolith?

It depends. Monoliths are often the right choice - easier to develop and deploy. Microservices solve scaling and team problems, not code problems.